code: def test_pad(self):
      expected_shapes = {3: (1, 15, 10), 4: (1, 10, 6, 7)}
      for t in (float, int, np.uint8, np.int16, np.float32, bool):
          for d in (
              ("cuda:0", "cpu")
              if torch.cuda.is_available()
              else ("cpu",)
          ):
              for s in ((1, 10, 10), (1, 5, 6, 7)):
                  for m in list(PytorchPadMode) + list(NumpyPadMode):
                      a = torch.rand(s)
                      to_pad = (
                          [(0, 0), (2, 3)]
                          if len(s) == 3
                          else [(0, 0), (2, 3), (0, 0), (0, 0)]
                      )
                      out = Pad(to_pad=to_pad, mode=m)(
                          CastToType(dtype=t)(a).to(d)
                      )
                      self.assertEqual(
                          out.shape, expected_shapes[len(s)]
                      )
  
file_path: MONAI/tests/test_pad_mode.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from monai.transforms import CastToType, Pad
  from monai.utils import NumpyPadMode, PytorchPadMode
  from tests.utils import SkipIfBeforePyTorchVersion
label_desc: Use image node_id 1 for calling the TestPadMode obj's underlying member method code with example usage: obj.test_pad() without return types